The combination of area under the curve and percentage change in estimated glomerular filtration rate predicts long-term outcome of kidney transplants.

Abstract

The development of surrogate markers for long-term outcomes of kidney transplant (KT) is a focus of attention. We examined the possibility of using a combination of the area under the curve of estimated glomerular filtration rate (eGFR) for 2years (AUCeGFR2yrs ) and percent change in eGFR between 1 and 2years after KT (% changeeGFR1/2yr ) as a surrogate marker. We compared the predictive power of death-censored graft failure with various combinations. The combination of >2% vs ≤2% for % changeeGFR1/2yr and >1300 vs ≤1300mL/min/month for AUCeGFR2yr had the highest Harrell C-index (0.647; 95% confidence interval [95% CI], 0.604-0.690). The death-censored graft survival rate of the group with ≤2% changeeGFR1/2yr and ≤1300mL/min/month AUCeGFR2yr was significantly lower than those of other groups. The AUC/% change eGFR had comparable predictive power to the previously identified marker ≥30% decline in eGFR between years 1 and 3 after KT (≤-30% changeeGFR1/3yr ) (Harrell's C-index=0.645 [95% CI 0.628-0.662] for ≤-30% changeeGFR1/3yr ). The proposed combination might be useful as a surrogate marker in KT trials because it requires a shorter surveillance period than the established marker while having comparable predictive power.